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Din sökning på "kognition" gav 1813 sökträffar

Short photoperiods end autumn migration in a naïve diurnal migrant

Many migratory animals use daylength, or photoperiod, to signal when to migrate and transition between annual phenological states. Whether animals use photoperiod as a temporal or spatial cue while migrating, however, requires additional empirical support. We used hatch-year dunnocks, Prunella modularis (a songbird), caught during their first migration in southern Sweden to elucidate whether migra

Weak Signal Detection With Low-Bit Quantization in Colocated MIMO Radar

This paper addresses the weak signal detection problem in a massive colocated multiple-input multiple-output (MIMO) radar. To cope with the sheer amount of data produced by the large-scale antennas, a low-bit quantizer is introduced in the sampling process to enable both for hardware limitations and a high detection performance. The generalized likelihood ratio test (GLRT) detector is proposed for

Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings

Poor survival for breast cancer in low- and middle-income countries is largely attributed to late-stage diagnosis and limited access to diagnostic tools. Therefore, we propose using point-of-care ultrasound (POCUS) as a low-cost diagnostic solution paired with a deep learning (DL) model for cancer detection. While using DL has shown great potential, it is crucial to ensure the trustworthiness of a

Toward Gaze-assisted Developer Tools

Many crucial activities in software development are linked to gaze and can potentially benefit from gaze-assisted developer tools. However, despite the maturity of eye trackers and the potential for such tools, we see very few studies of practitioners. Here, we present a systematic mapping study to examine recent developments in the field with a focus on the experimental setup of eye-tracking stud

FDA antenna selection for localizing targets

In this paper, we propose a joint transmit and receive antenna selection scheme for frequency diverse array (FDA) radar that aims at finding an optimal selection of employed FDA antennas, formed by minimizing the Cramér–Rao lower bound (CRLB) of the target localization problem given the available a priori knowledge of potential target locations. The resulting problem is a non-convex Boolean proble

Diurnal migration patterns in willow warblers differ between the western and eastern flyways

It is a long-standing view that the main mechanism maintaining narrow migratory divides in passerines is the selection against intermediate and suboptimal migratory direction, but empirical proof of this is still lacking. We present novel results from a willow warbler migratory divide in central Sweden from where birds take the typical SW and SE as well as intermediate routes to winter quarters in

Coherent FDA Receiver and Joint Range-Space-Time Processing

When a target is masked by mainlobe clutter with the same Doppler frequency, it is difficult for conventional airborne radars to determine whether a target is present in a given observation using regular space-time adaptive processing techniques. Different from phased-array and multiple-input multiple-output (MIMO) arrays, frequency diverse arrays (FDAs) employ frequency offsets across the array e

Sound Field Estimation Using Deep Kernel Learning Regularized by the Wave Equation

In this work, we introduce a spatio-temporal kernel for Gaussian process (GP) regression-based sound field estimation. Notably, GPs have the attractive property that the sound field is a linear function of the measurements, allowing the field to be estimated efficiently from distributed microphone measurements. However, to ensure analytical tractability, most existing kernels for sound field estim

DP-ACT: Decentralized Privacy-Preserving Asymmetric Digital Contact Tracing

Digital contact tracing substantially improves the identification of high-risk contacts during pandemics. Despite several attempts to encourage people to use digital contact-tracing applications by developing and rolling out decentralized privacy-preserving protocols (broadcasting pseudo-random IDs over Bluetooth Low Energy-BLE), the adoption of digital contact tracing mobile applications has been

Super-resolution Direction of Arrival Estimation Using a Minimum Mean-Square Error Framework

This paper develops a novel sparse direction-of-arrival (DOA) estimation technique that avoids the common requirement of hyperparameters, which are typically difficult to set suitably in practice. Using the presented minimum mean-square error (MMSE) estimation framework, we propose a computationally efficient super-resolution DOA estimator that is implemented using an alternate updating of the spa

Scanning WAXS microscopy of regenerated cellulose fibers at mesoscopic resolution

In this work, regenerated cellulose textile fibers, Ioncell-F, dry-wet spun with different draw ratios, have been investigated by scanning wide-Angle X-ray scattering (WAXS) using a mesoscopic X-ray beam. The fibers were found to be homogeneous on the 500nm length scale. Analysis of the azimuthal angular dependence of a crystalline Bragg spot intensity revealed a radial dependence of the degree of

High-Throughput Hyperparameter-Free Sparse Source Location for Massive TDM-MIMO Radar : Algorithm and FPGA Implementation

The sparse iterative covariance-based estimation (SPICE) algorithm is promising for hyperparameter-free sparse source location for time-division-multiplexing multiple-input-multiple-output (TDM-MIMO) radar systems, with well-documented merits in resolution enhancement and sidelobe suppression. Regrettably, the method typically requires a large number of iterations to converge, each requiring high-

IPFL : Interpretable Federated Learning for Personalized Healthcare

Federated Learning (FL) enables decentralized training of neural networks across multiple hospitals or patients while preserving data privacy. However, FL schemes typically assume data is independent and identically distributed (IID) while healthcare data can be highly heterogeneous. To address this, we propose Interpretable Personalized Federated Learning (IPFL), a novel framework that allows pat

GÅS Nyhetsbrev 2021

GÅS nyhetsbrev Under Covid-19 pandemin har många äldres möjligheter till sociala kontakter drastiskt minskat och vi har därför startat ett nytt projekt där vi vill studera effekter av ensam- het, såväl upplevd emotionell ensamhet som social isolering och samband med fysisk/psykisk symtombörda. Långvarig stress i samband med emotionell ensamhet- när man saknar en nära relation att dela sina innerst

https://www.geriatrik.lu.se/sites/geriatrik.lu.se/files/2021-12/G%C3%85S%20nyhetsbrev%202021.pdf - 2025-12-16

Psyd61 litteratur 14467 h14

Se bilaga. Litteraturlista för PSYD61, Psykologi: Personlighets- och utvecklingspsykologi gällande från och med termin höstterminen 2014 Litteraturlistan är fastställd av Styrelsen vid institutionen för psykologi 2014- 11-03 att gälla från och med 2014-11-04 Litteratur Delkurs 1. Utveckling fram till tonåren (7,5 högskolepoäng) Berk, Laura E. (2012). Infants, Children, and Adolescents, 7 th Ed. Bo

https://www.psy.lu.se/sites/psy.lu.se/files/psyd61_litteratur_14467_h14.pdf - 2025-12-16

Psyd61 litteraturfasth14

Se bilaga. Litteraturlista för PSYD61, Psykologi: Personlighets- och utvecklingspsykologi gällande från och med termin höstterminen 2014 Litteraturlistan är fastställd av Styrelsen vid institutionen för psykologi 2014- 08-15 att gälla från och med 2014-09-01 Se bilaga. Litteraturlista för PSYD61, Psykologi: Personlighets- och utvecklingspsykologi gällande från och med termin höstterminen 2014 Litt

https://www.psy.lu.se/sites/psy.lu.se/files/psyd61_litteraturfasth14.pdf - 2025-12-16

Alternative implementations of the Auxiliary Duplicating Permutation Invariant Training

Simultaneous sound event localization and detection (SELD) for multi-source sound events is an open research field. The Multi-ACCDOA format is a popular way to handle activity-coupled sound events where the same class occurs at multiple locations at the same time. An important part is the Auxiliary Duplicating Permutation Invariant Training (ADPIT) paradigm that calculates the loss for order-agnos